Elevator service for dual lobby during up-peak
    31.
    发明授权
    Elevator service for dual lobby during up-peak 失效
    电梯服务双人大厅在高峰期间

    公开(公告)号:US5644110A

    公开(公告)日:1997-07-01

    申请号:US357630

    申请日:1994-12-16

    Abstract: An elevator system for up-peak servicing of a building having a dual lobby. The system includes a controller having an electronic processor coupled to a memory; a plurality of elevator cars controllably connected to the controller, a dual lobby routine stored within the memory, the dual lobby routine includes instructions for dispatching at least one of the elevator cars to a lower lobby during up-peak, indicating a sector assigned to the car, nudging (if needed) the car if a lower lobby time-out is exceeded, dispatching the car to the upper lobby if a load weight threshold is not exceeded, and then indicating the sector assigned to the car while the car is located at the upper lobby.

    Abstract translation: 一种用于具有双大厅的建筑物的高峰服务的电梯系统。 该系统包括具有耦合到存储器的电子处理器的控制器; 多个可控制地连接到控制器的电梯轿厢,存储在存储器内的双大厅程序,双大厅程序包括用于在高峰期期间将至少一个电梯轿厢调度到下游大厅的指令,指示分配给 汽车,如果超过了较低的大厅超时,则推动汽车(如果需要),如果没有超过负载重量阈值,则将汽车发送到上部大厅,然后指示在汽车位于轿厢时分配给汽车的行驶 上层大厅。

    Arrival time determination for passengers boarding an elevator car
    33.
    发明授权
    Arrival time determination for passengers boarding an elevator car 失效
    乘坐电梯轿厢的乘客到达时间决定

    公开(公告)号:US5411118A

    公开(公告)日:1995-05-02

    申请号:US41145

    申请日:1993-03-30

    Abstract: The present invention is directed to determining an arrival time for each of the passengers boarding an elevator car. Where the elevator car stops at a floor in response to a hall call request, the arrival time of the passengers which boarded the elevator car is preferably determined based the time period between when the hall call was registered and when the elevator car door closed. Where the elevator car stops at a floor in response to a car call registered within the elevator, the arrival time of the passengers which boarded the elevator car is preferably determined based on the time period between when the elevator stopped at the floor and when the elevator car door closed. Alternatively, the time period between when the elevator car door opened and when the elevator car door closed can be used. In the preferred embodiment, the first passenger is assumed to have an arrival time corresponding to the beginning of the time period. If more than one passenger boarded the elevator, the passengers are assumed to have arrived in a distributed fashion over this time period.

    Abstract translation: 本发明旨在确定登乘电梯轿厢的乘客的到达时间。 在电梯轿厢响应于门厅呼叫请求而停在地板上的情况下,乘坐登机电梯轿厢的乘客的到达时间优选地基于门厅呼叫登记之间的时间段和电梯轿厢门关闭时的时间来确定。 在电梯轿厢响应登记在电梯内的轿厢呼梯而停在地板上的情况下,乘坐电梯轿厢的乘客的到达时间优选地基于电梯在地面停止时和电梯之间的时间段来确定 车门关闭。 或者,可以使用当电梯轿厢门打开和电梯轿厢门关闭时的时间段。 在优选实施例中,假设第一乘客具有对应于时间段开始的到达时间。 如果乘客登机不止一次,则假定乘客在这段时间内以分布式方式抵达。

    Artificially intelligent traffic modeling and prediction system
    34.
    发明授权
    Artificially intelligent traffic modeling and prediction system 失效
    人工智能交通建模与预测系统

    公开(公告)号:US5354957A

    公开(公告)日:1994-10-11

    申请号:US49091

    申请日:1993-04-16

    Applicant: Euan Robertson

    Inventor: Euan Robertson

    Abstract: A system for allocating hall calls in a group of elevators includes a plurality of neural network modules to model, learn and predict passenger arrival rates and passenger destination probabilities. The models learn the traffic occurring in a building by inputting to the neural networks traffic data previously stored. The neural networks then adjust their internal structure to make historic predictions based on data of the previous day and real time predictions based on data of the last ten minutes. The predictions of arrival rates are combined to provide optimum predictions. From every set of historic car calls and the optimum arrival rates, a matrix is constructed which stores entries representing the number of passengers with the same intended destination for each hall call. The traffic predictions are used separately or in combination by a group control to improve operating cost computations and car allocation, thereby reducing the travelling and waiting times of current and future passengers.

    Abstract translation: 一组用于在一组电梯中分配门厅呼叫的系统包括多个神经网络模块,以模拟,学习和预测乘客到达率和乘客目的地概率。 模型通过输入到先前存储的神经网络交通数据来学习在建筑物中发生的交通。 然后神经网络调整其内部结构,根据前一天的数据和基于最近十分钟数据的实时预测进行历史预测。 结合到达率的预测来提供最佳预测。 从每组历史车厢呼叫和最佳到达率,构建一个矩阵,其存储表示每个门厅呼叫具有相同预期目的地的乘客人数的条目。 流量预测单独使用或组合使用,以改善运营成本计算和汽车分配,从而减少当前和未来乘客的行驶和等待时间。

    Elevator traffic predictions using historical data checked for certainty
    35.
    发明授权
    Elevator traffic predictions using historical data checked for certainty 失效
    电梯交通预测使用历史数据检查确定性

    公开(公告)号:US5272288A

    公开(公告)日:1993-12-21

    申请号:US580888

    申请日:1990-09-11

    Applicant: Nader Kameli

    Inventor: Nader Kameli

    CPC classification number: B66B1/2408 B66B2201/222 B66B2201/402 B66B2201/403

    Abstract: An elevator system (FIG. 1) employing a microprocessor-based group controller (FIG. 2) communicating with elevator cars (3,4, . . . ) to derive relative prediction values to be used in a scheme of ultimately assigning, e.g., cars to hall calls at a plurality of floors in the building, using appropriate dispatching strategies based on predicted traffic conditions. In the algorithm of the invention (FIG. 3) the building's inhabitants' behavior based on weekly events, daily events and real time events is predicted, with the events being used to derive relative prediction values based on the weighted summation of the real, daily and weekly values of the events. Weekly events are considered to be those that happened over a past number of weeks (e.g. 10 weeks) on the same day of the week; while daily events are those that happened over the past few days (e.g. 5 days). Real time events are those which are effectively currently happening, with the time frame of reference being sufficiently short to produce data which effectively can be considered "real time" data, typically covering only a matter of some minutes (e.g. 4 minutes) or even less. In determining what events recorded in the daily and weekly historic data bases are to be used in deriving the predicted relative values, the degree of the certainty of the data is evaluated using two threshold considerations, and historic factors based on data which fails to have the requisite certainty is not used in the predictions.

    Abstract translation: 一种使用与电梯轿厢(3,4 ...)通信的基于微处理器的组控制器(图2)的电梯系统(图1),以导出在最终分配方案中使用的相对预测值, 使用基于预测的交通状况的适当的调度策略,在建筑物的多个楼层的轿厢到门厅呼叫。 在本发明的算法(图3)中,预测了基于每周事件,日常事件和实时事件的建筑物的居民行为,其中事件被用于基于实际每日事件的加权求和得出相对预测值 和每周的事件值。 每周活动被认为是在一周内同一天的过去几周(例如10周)发生的事件; 而日常活动是过去几天(例如5天)发生的事件。 实时事件是当前正在发生的事件,参考时间足够短以产生有效地被认为是“实时”数据的数据,通常仅覆盖几分钟(例如4分钟)甚至更少 。 在确定在每天和每周历史数据库中记录的事件将用于导出预测的相对值时,使用两个阈值考虑来评估数据的确定性程度,并且基于数据的历史因素, 预测中没有使用必要的确定性。

    Elevator control apparatus using neural network to predict car direction
reversal floor
    36.
    发明授权
    Elevator control apparatus using neural network to predict car direction reversal floor 失效
    电梯控制装置使用神经网络预测汽车方向反转楼层

    公开(公告)号:US5250766A

    公开(公告)日:1993-10-05

    申请号:US705070

    申请日:1991-05-23

    Abstract: An elevator control apparatus capable of predicting reversion floors of elevator cages accurately. The control apparatus comprises a neural network, in which traffic state data are fetched into the neural network, so that predicted values of floors where the moving direction of each cage is reversed are calculated as predicted reversion floors. In the elevator control apparatus, reversion floors near true reversion floors can be predicted flexibly correspondingly to traffic state and traffic volume.

    Abstract translation: 一种电梯控制装置,能够准确地预测电梯笼的回复底板。 控制装置包括神经网络,其中交通状态数据被提取到神经网络中,使得每个轿厢的移动方向相反的楼层的预测值被计算为预测的逆转楼层。 在电梯控制装置中,可以相应于交通状况和交通量灵活地预测真正的倒转楼层附近的倒转楼层。

    Apparatus for statistically processing elevator traffic information
    38.
    发明授权
    Apparatus for statistically processing elevator traffic information 失效
    用于统计处理电梯交通信息的装置

    公开(公告)号:US4677577A

    公开(公告)日:1987-06-30

    申请号:US857506

    申请日:1986-04-21

    CPC classification number: B66B1/2408 B66B2201/211 B66B2201/214 B66B2201/402

    Abstract: An apparatus for statistically processing elevator traffic information by statistically processing traffic information on each building floor in each of a number of time zones of a day to generate group control information, comprising a first statistical data generator device responsive to the traffic information on each floor for issuing a total value of the traffic information as a statistical value, a second statistical data generator device for issuing as a statistical value the ratio of the traffic information on each floor to the absolute value of traffic information, and a control converter device for converting the statistical values from the first and second statistical data generator devices into the group control information.

    Abstract translation: 一种统计处理电梯交通信息的装置,通过统计地处理一天中多个时区中的每一个中的每个建筑物楼层上的交通信息,以产生组控制信息,该装置包括响应每层楼层交通信息的第一统计数据发生装置, 发布交通信息的总值作为统计值;第二统计数据发生装置,用于作为统计值发布每个楼层的交通信息量与交通信息的绝对值的比率;以及控制转换装置, 从第一和第二统计数据发生器装置到组控制信息的统计值。

    Demand estimation apparatus
    39.
    发明授权
    Demand estimation apparatus 失效
    需求估算装置

    公开(公告)号:US4612624A

    公开(公告)日:1986-09-16

    申请号:US544234

    申请日:1983-10-21

    Applicant: Shintaro Tsuji

    Inventor: Shintaro Tsuji

    CPC classification number: B66B1/2408 B66B2201/402

    Abstract: A demand estimation apparatus wherein one cycle of a demand fluctuating substantially cyclically is divided into a plurality of sections having predetermined time widths, the demand is measured by cumulating demand measurements taken a varying number of times for each section and assigning an increasing weighting parameter for successively newer measured values, an estimated demand for each section is calculated based on the measured values for the section and a weight coefficient, and the weight coefficient is changed in accordance with the number of times of cumulation of demand measurements.

    Abstract translation: 一种需求估计装置,其特征在于,周期性地周期性地变化的需求被划分成具有预定时间宽度的多个部分,通过对每个部分累积需求测量次数来测量需求,并且依次分配增加的加权参数 较新的测量值,基于截面的测量值和权重系数来计算每个部分的估计需求,并且根据需求测量的累积次数来改变权重系数。

    Elevator traffic demand analyzing system
    40.
    发明授权
    Elevator traffic demand analyzing system 失效
    电梯交通需求分析系统

    公开(公告)号:US4562530A

    公开(公告)日:1985-12-31

    申请号:US481940

    申请日:1983-04-04

    CPC classification number: B66B1/2408 B66B2201/402

    Abstract: An improved traffic demand analyzing system is disclosed in which the past traffic demand data that have occurred during the same predetermined unit time periods as the current time period are computed so that the past data may be implemented in the group control of the elevator operation. The system comprises a unit for measuring and storing the traffic volume for a plurality of predetermined time periods up to the current time period, and a unit for preestimating the traffic volume for the near future through placing greater emphasis on the traffic volume associated with said predetermined time period nearer to the current time or through making use of only traffic values associated with a certain number predetermined time periods near to the current time.

    Abstract translation: 公开了一种改进的交通需求分析系统,其中计算在与当前时间段相同的预定单位时间段内发生的过去业务量需求数据,使得过去数据可以在电梯操作的组控制中实现。 该系统包括用于测量和存储直到当前时间段的多个预定时间段的业务量的单元,以及用于通过更加强调与所述预定的相关联的业务量来预先估计不久的将来的业务量的单元 更接近当前时间的时间段,或通过仅使用与当前时间附近的一定数量的预定时间段相关联的流量值。

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